Repository navigation
Add quickstart notebook - #10
Merged
Merged
Conversation
notebooks/quickstart.ipynb walks through the whole loop in one place: try vllm-sr/d3-edge, ask your own questions, split deciformer-15k, fine-tune from a bundled recipe, evaluate, reload the checkpoint, and optionally push or serve it. - Settings pick the recipe from the hardware (Qwen3-0.6B LoRA on a GPU, SmolLM2-135M on CPU) and select training/eval tasks and sample sizes. - The eval table shows chance level and the share of the most common answer per task, so a collapsed model is easy to spot. - CLI steps run through a small subprocess helper, so the notebook works on Windows as well as Linux, macOS and Colab. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
notebooks/quickstart.ipynb walks through the whole loop in one place: try vllm-sr/d3-edge, ask your own questions, split deciformer-15k, fine-tune from a bundled recipe, evaluate, reload the checkpoint, and optionally push or serve it.